// as an error to be reported.
func readAllInto(b []byte, r *wsutil.Reader, want int64) ([]byte, error) {
	read := int64(0)
	for {
		if len(b) == cap(b) {
			// Add more capacity (let append pick how much).
			b = append(b, 0)[:len(b)]
		}
		n, err := r.Read(b[len(b):cap(b)])
		b = b[:len(b)+n]
		if err != nil {
			if errors.Is(err, io.EOF) {
				if want >= 0 && read+int64(n) != want {

Conforme o Python evolui, **novas versões** chegam com suporte melhorado para esses type annotations, e em muitos casos, você não precisará nem importar e utilizar o módulo `typing` para declarar os type annotations.

Se você pode escolher uma versão mais recente do Python para o seu projeto, você poderá aproveitar isso ao seu favor.

 *
 * <p>Unlike {@code java.util.HashSet}, iteration is only proportional to the actual {@code size()},
 * which is optimal, and <i>not</i> the size of the internal hashtable, which could be much larger
 * than {@code size()}. Furthermore, this structure only depends on a fixed number of arrays; {@code
 * add(x)} operations <i>do not</i> create objects for the garbage collector to deal with, and for

   * and use that list instead.
   */
  public List<Long> asList() {
    /*
     * Typically we cache this kind of thing, but much repeated use of this view is a performance
     * anti-pattern anyway. If we cache, then everyone pays a price in memory footprint even if
     * they never use this method.
     */
    return new AsList(this);
  }

   * ImmutableList.copyOf} and use that list instead.
   */
  public List<Integer> asList() {
    /*
     * Typically we cache this kind of thing, but much repeated use of this view is a performance
     * anti-pattern anyway. If we cache, then everyone pays a price in memory footprint even if
     * they never use this method.
     */
    return new AsList(this);
  }

            assertTrue(scheduler.containsKey("running"));
            isRunning = (Boolean) scheduler.get("running");

        }
        if (300 <= count) {
            logger.info("Time out: Crawler takes too much time");
            //TODO fail(); // Time Out
        }

        logger.info("Crawler terminated");
    }

    protected static String createWebConfig(final Map<String, Object> requestBody) {

That way I could find the best ways to reduce code duplication as much as possible, to have completion everywhere, type and error checks, etc.

All in a way that provided the best development experience for all the developers.

## Requirements

	}
	if fi1.Mode() != fi2.Mode() {
		return false
	}
	return fi1.Size() == fi2.Size()
}

// DirectioAlignSize - DirectIO alignment needs to be 4K. Defined here as
// directio.AlignSize is defined as 0 in MacOS causing divide by 0 error.
const DirectioAlignSize = 4096

// CopyAligned - copies from reader to writer using the aligned input
// buffer, it is expected that input buffer is page aligned to

<div class="termy">

```console
$ python -m venv env
```

</div>

这将使用 Python 程序创建一个 `./env/` 目录，然后你将能够为这个隔离的环境安装软件包。

### 激活虚拟环境

使用以下方法激活新环境：

//// tab | Linux, macOS

<div class="termy">

```console
$ source ./env/bin/activate
```

</div>

////

//// tab | Windows PowerShell

<div class="termy">

```console
$ .\env\Scripts\Activate.ps1

---

If you just don't know, use normal `def`.

---

**Note**: You can mix `def` and `async def` in your *path operation functions* as much as you need and define each one using the best option for you. FastAPI will do the right thing with them.

Anyway, in any of the cases above, FastAPI will still work asynchronously and be extremely fast.